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Shixiong Zhu 79fd0cc058 [SPARK-16963][SQL] Fix test "StreamExecution metadata garbage collection" 
## What changes were proposed in this pull request?

A follow up PR for #14553 to fix the flaky test. It's flaky because the file list API doesn't guarantee any order of the return list.

## How was this patch tested?

Jenkins

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #15661 from zsxwing/fix-StreamingQuerySuite.
2016-10-27 12:32:58 -07:00
..
catalyst [SPARK-17770][CATALYST] making ObjectType public 2016-10-26 18:03:31 -07:00
core [SPARK-16963][SQL] Fix test "StreamExecution metadata garbage collection" 2016-10-27 12:32:58 -07:00
hive [SPARK-18026][SQL] should not always lowercase partition columns of partition spec in parser 2016-10-25 15:00:33 +08:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -07:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.